%0 Journal Article %1 journals/eswa/LiuLWGQL22 %A Liu, Qi %A Luo, Dehan %A Wen, Tengteng %A Gholamhosseini, Hamid %A Qiu, Xiaofang %A Li, Jingshan %D 2022 %J Expert Syst. Appl. %K dblp %P 116997 %T POI-3DGCN: Predicting odor intensity of monomer flavors based on three-dimensionally embedded graph convolutional network. %U http://dblp.uni-trier.de/db/journals/eswa/eswa199.html#LiuLWGQL22 %V 199

@article{journals/eswa/LiuLWGQL22, added-at = {2022-05-28T00:00:00.000+0200}, author = {Liu, Qi and Luo, Dehan and Wen, Tengteng and Gholamhosseini, Hamid and Qiu, Xiaofang and Li, Jingshan}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/21840d0e61014daae90c4527030925589/dblp}, ee = {https://doi.org/10.1016/j.eswa.2022.116997}, interhash = {8091583f31f76dcb1c47faadbdeb8846}, intrahash = {1840d0e61014daae90c4527030925589}, journal = {Expert Syst. Appl.}, keywords = {dblp}, pages = 116997, timestamp = {2022-06-02T06:09:00.000+0200}, title = {POI-3DGCN: Predicting odor intensity of monomer flavors based on three-dimensionally embedded graph convolutional network.}, url = {http://dblp.uni-trier.de/db/journals/eswa/eswa199.html#LiuLWGQL22}, volume = 199, year = 2022 }